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Stephenson, Rachyl; Starck, Jenna; Hamilton, Xiaofen – Physical Educator, 2022
This study employed occupational socialization theory to explore three physical education preservice teachers' (PSTs) perceptions of assessment during an alternative field-based experience. A phenomenological approach guided this study, and data were collected through autobiographies, lesson plans, video recordings of teachings, and three rounds…
Descriptors: Preservice Teacher Education, Preservice Teachers, Physical Education Teachers, Student Attitudes
Deli, Serpil; Koray, Ozlem; Kahraman, Emine – Journal of Education in Science, Environment and Health, 2022
The purpose of this study was to reveal the experiences of science teachers during the pandemic and their recommendations about the post-pandemic process. In the study, the "first period" referred to the period when the pandemic first appeared (the period between March-June 2020) and the "second period" referred to the…
Descriptors: Science Teachers, Distance Education, COVID-19, Pandemics
Lawhorn, Phyllis D. – ProQuest LLC, 2022
Colleges use academic success strategies to improve the retention rates of students with disabilities. The purpose of this qualitative case study was to investigate community college faculty's perceptions of their level of self-efficacy in meeting the learning needs of students with hidden disabilities (SHD) in higher education. Bandura's theory…
Descriptors: Two Year Colleges, College Faculty, Teacher Attitudes, Self Efficacy
Clarke, Anisha Pauline – ProQuest LLC, 2022
Efforts to improve learning outcomes in undergraduate mathematics are backed by calls for instructors to move away from persistent pedagogical norms, such as traditional "chalk-talk lectures" and timed closed-book exams. Although the movement towards active learning pedagogies and alternative assessments is gaining ground, uptake has…
Descriptors: Mathematics Instruction, College Mathematics, Undergraduate Study, COVID-19
Bortz, Whitney Wall; Gautam, Aakash; Tatar, Deborah; Lipscomb, Kemper – Journal of Science Education and Technology, 2020
Integrating computational thinking (CT) and science education is complex, and assessing the resulting learning gains even more so. Arguments that assessment should match the learning (Biggs, "Assessment & Evaluation in Higher Education," 21(1), 5-16. 1996; Airasian and Miranda, "Theory into Practice," 41(4), 249-254. 2002;…
Descriptors: Computation, Thinking Skills, Science Education, Evaluation Methods
Qu, Wen; Liu, Haiyan; Zhang, Zhiyong – Grantee Submission, 2020
In social and behavioral sciences, data are typically not normally distributed, which can invalidate hypothesis testing and lead to unreliable results when being analyzed by methods developed for normal data. The existing methods of generating multivariate non-normal data typically create data according to specific univariate marginal measures…
Descriptors: Social Science Research, Statistical Distributions, Multivariate Analysis, Monte Carlo Methods
Pommée, Timothy; Balaguer, Mathieu; Mauclair, Julie; Pinquier, Julien; Woisard, Virginie – International Journal of Language & Communication Disorders, 2022
Background: Intelligibility and comprehensibility in speech disorders can be assessed both perceptually and instrumentally, but a lack of consensus exists regarding the terminology and related speech measures in both the clinical and scientific fields. Aims: To draw up a more consensual definition of intelligibility and comprehensibility and to…
Descriptors: Intelligibility, Comprehension, Speech Impairments, Evaluation Methods
Bennett, Randy E. – Educational Measurement: Issues and Practice, 2022
This commentary focuses on one of the positive impacts of COVID-19, which was to tie societal inequity to testing in a manner that could motivate the reimagining of our field. That reimagining needs to account for our nation's dramatically changing demographics so that assessment generally, and standardized testing specifically, better fit the…
Descriptors: COVID-19, Pandemics, Social Justice, Testing
Jung, Yeonji; Wise, Alyssa Friend; Allen, Kenneth L. – Advances in Health Sciences Education, 2022
This study describes a theory-informed application of data science methods to analyze the quality of reflections made in a health professions education program over time. One thousand five hundred reflections written by a cohort of 369 dental students over 4 years of academic study were evaluated for an overall measure of reflection depth (No,…
Descriptors: Dentistry, Graduate Students, Reflection, Artificial Intelligence
Bartholomew, Scott R.; Mentzer, Nathan; Jones, Matthew; Sherman, Derek; Baniya, Sweta – International Journal of Technology and Design Education, 2022
Traditional efforts around improving assessment often center on the teacher as the evaluator of work rather than the students. These assessment efforts typically focus on measuring learning rather than stimulating, promoting, or producing learning in students. This paper summarizes a study of a large sample of undergraduate students (n = 550) in…
Descriptors: Undergraduate Students, Evaluation Methods, Learning, Comparative Analysis
Burkholder, Joel M.; Phillips, Kat – Journal of Information Literacy, 2022
What is bias? A review of the library literature reveals no attempts to define the concept. Nor does it reveal systematic attempts to develop interventions that teach the identification and evaluation of bias. Current pedagogical approaches (checklists and bias charts) tend to assume a self-evident definition that categorises bias as…
Descriptors: Bias, Information Literacy, Information Sources, Evaluation Methods
Binici, Salih; Cuhadar, Ismail – Journal of Educational Measurement, 2022
Validity of performance standards is a key element for the defensibility of standard setting results, and validating performance standards requires collecting multiple pieces of evidence at every step during the standard setting process. This study employs a statistical procedure, latent class analysis, to set performance standards and compares…
Descriptors: Validity, Performance, Standards, Multivariate Analysis
Laghi, Fiorenzo; Ferri, Rosa; Caramuscio, Elvira; Lonigro, Antonia; Rea, Monica; Pezzuti, Lina – Journal of Autism and Developmental Disorders, 2022
The present study aimed at enhancing the assessment of adaptive behavior in adolescents with Autism Spectrum Disorder through the Adaptive Behavior Assessment System-Second Edition. To overcome the limits underpinning floor effect, which are commonly observed with the traditional methods, the statistical Hessl method and its revision by Orsini,…
Descriptors: Adolescents, Autism Spectrum Disorders, Behavior, Daily Living Skills
Hii, Puong Koh; Goh, Chin Fei; Rasli, Amran; Tan, Owee Kowang – Knowledge Management & E-Learning, 2022
Multicriteria decision-making (MCDM) techniques have been widely adopted to evaluate the effectiveness of e-learning. However, the literature review has not kept pace with the rapid accumulation of knowledge in this field. This study systematically reviews the MCDM techniques applied in e-learning issues. In total, we reviewed 77 published studies…
Descriptors: Electronic Learning, Instructional Effectiveness, Decision Making, Evaluation
Chen, Xiaojun; Zhang, Ying; Wu, Wei; Luo, Yupeng; Shi, Yangming – International Journal of Technology in Teaching and Learning, 2022
This paper explores assessment approaches within the unique context of Extended Reality (XR) learning environments, which offer immersive and contextualized experiences. Focusing on STEM disciplines, the paper presents four distinctive XR-based assessment cases, exploring the discipline, context, purpose, and results of each. These insights aim to…
Descriptors: STEM Education, Evaluation Methods, Computer Simulation, Educational Environment

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